The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-09-02"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "26031410 (up from 25749642 yesterday: 1.09 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "863028 (up from 857015 yesterday: 0.7 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5400642

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.32



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 6113510 39670 0.65 916099 185720 1056 0.57 3.04
Brazil 3997865 46934 1.19 833080 123780 1184 0.97 3.10
India 3853406 83883 2.23 1456769 67376 1043 1.57 1.75
Russia 1001965 4893 0.49 101220 17365 115 0.67 1.73
Peru 657129 5092 0.78 158574 29068 124 0.43 4.42
Colombia 633321 9295 1.49 210802 20345 295 1.47 3.21
South Africa 630595 2336 0.37 61676 14389 126 0.88 2.28
Mexico 610957 4921 0.81 112577 65816 575 0.88 10.77
Spain 479554 8581 1.82 149770 29194 42 0.14 6.09
Argentina 439172 10933 2.55 170598 9118 199 2.23 2.08
Chile 414739 1594 0.39 36571 11344 23 0.20 2.74
Iran 378752 1858 0.49 45053 21797 125 0.58 5.75
United Kingdom 340929 1514 0.45 25348 41602 10 0.02 12.20
France 331060 7092 2.19 86972 30692 26 0.08 9.27
Bangladesh 317528 2582 0.82 51030 4351 35 0.81 1.37
Saudi Arabia 317486 816 0.26 24449 3956 27 0.69 1.25
Pakistan 297014 865 0.29 10340 6328 30 0.48 2.13
Turkey 273301 1596 0.59 28909 6462 45 0.70 2.36
Italy 271515 1326 0.49 19802 35497 6 0.02 13.07
Germany 247411 1396 0.57 26552 9322 15 0.16 3.77
Iraq 242284 3946 1.66 81848 7201 78 1.10 2.97
Philippines 226440 2176 0.97 82691 3623 26 0.72 1.60
Indonesia 180646 3075 1.73 49928 7616 111 1.48 4.22
Canada 131941 519 0.39 9238 9182 3 0.03 6.96
Ukraine 128833 2554 2.02 42329 2705 51 1.92 2.10
Israel 121464 2926 2.47 33313 969 12 1.25 0.80
Qatar 119206 212 0.18 5268 199 1 0.51 0.17
Bolivia 117928 661 0.56 22857 5203 102 2.00 4.41
Ecuador 115457 1148 1.00 18347 6619 48 0.73 5.73
Kazakhstan 106032 88 0.08 4660 1588 0 0.00 1.50
Egypt 99280 165 0.17 3317 5461 21 0.39 5.50
Dominican Republic 95627 648 0.68 13403 1765 27 1.55 1.85
Panama 94084 532 0.57 16707 2030 12 0.59 2.16
China 89953 20 0.02 908 4727 3 0.06 5.25
Romania 89891 1298 1.47 24714 3721 40 1.09 4.14
Kuwait 86478 667 0.78 12693 535 1 0.19 0.62
Oman 85928 0 0.00 3629 689 0 0.00 0.80
Belgium 85911 424 0.50 10264 9898 1 0.01 11.52
Sweden 84532 11 0.01 1077 5820 7 0.12 6.88
Guatemala 75644 751 1.00 16555 2790 12 0.43 3.69
Netherlands 74660 858 1.16 12942 6267 7 0.11 8.39
Belarus 72141 179 0.25 3039 691 5 0.73 0.96
United Arab Emirates 71540 735 1.04 8328 387 3 0.78 0.54
Japan 69619 596 0.86 18331 1327 14 1.07 1.91
Poland 68517 595 0.88 14841 2078 20 0.97 3.03
Morocco 65453 1672 2.62 28759 1216 32 2.70 1.86
Honduras 62526 757 1.23 13869 1924 36 1.91 3.08
Portugal 58633 390 0.67 5410 1827 3 0.16 3.12
Singapore 56860 8 0.01 1465 27 0 0.00 0.05
Nigeria 54463 216 0.40 6720 1027 4 0.39 1.89
Ethiopia 54409 1105 2.07 29291 846 18 2.17 1.55
Bahrain 52807 367 0.70 7543 190 0 0.00 0.36
Venezuela 48883 1127 2.36 19795 398 7 1.79 0.81
Algeria 45158 325 0.72 8459 1523 5 0.33 3.37
Ghana 44658 198 0.45 3086 276 0 0.00 0.62
Armenia 44075 197 0.45 3281 884 3 0.34 2.01
Kyrgyzstan 44036 78 0.18 3277 1059 0 0.00 2.40
Costa Rica 43305 1121 2.66 18248 453 10 2.26 1.05
Switzerland 42763 370 0.87 5594 2011 0 0.00 4.70
Uzbekistan 42437 310 0.74 9783 327 4 1.24 0.77
Nepal 41649 1120 2.76 17217 251 12 5.02 0.60
Afghanistan 38243 47 0.12 898 1409 3 0.21 3.68
Moldova 37740 532 1.43 9043 1024 16 1.59 2.71
Azerbaijan 36732 154 0.42 2908 538 2 0.37 1.46
Kenya 34493 178 0.52 6389 581 4 0.69 1.68
Serbia 31581 99 0.31 2830 716 1 0.14 2.27
Ireland 29114 89 0.31 2276 1777 0 0.00 6.10
Austria 27969 327 1.18 5530 734 0 0.00 2.62
Australia 26049 126 0.49 3691 678 15 2.26 2.60
El Salvador 25904 84 0.33 4260 731 7 0.97 2.82
Czechia 25773 656 2.61 6698 425 0 0.00 1.65
West Bank and Gaza 23875 594 2.55 8691 162 3 1.89 0.68
Korea, South 20644 195 0.95 5874 329 3 0.92 1.59
Bosnia and Herzegovina 20517 283 1.40 5556 627 7 1.13 3.06
Cameroon 19460 51 0.26 1197 415 1 0.24 2.13
Paraguay 19138 800 4.36 11120 358 10 2.87 1.87
Lebanon 18375 598 3.36 10962 177 6 3.51 0.96
Cote d’Ivoire 18161 58 0.32 1314 117 0 0.00 0.64
Denmark 17620 111 0.63 2197 626 1 0.16 3.55
Bulgaria 16617 163 0.99 2724 648 6 0.93 3.90
Libya 15156 532 3.64 8545 250 8 3.31 1.65
Madagascar 15023 66 0.44 1626 196 1 0.51 1.30
North Macedonia 14600 145 1.00 2383 606 2 0.33 4.15
Senegal 13743 88 0.64 2156 287 3 1.06 2.09
Sudan 13189 0 0.00 1156 823 0 0.00 6.24
Kosovo 12683 0 0.00 2264 488 0 0.00 3.85
Zambia 12415 34 0.27 3914 292 2 0.69 2.35
Norway 11034 163 1.50 1251 264 0 0.00 2.39
Greece 10757 233 2.21 4580 273 2 0.74 2.54
Croatia 10725 311 2.99 4855 191 4 2.14 1.78
Congo (Kinshasa) 10114 10 0.10 576 259 0 0.00 2.56

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 721281 5664 0.79 129905 13317 167 1.27 1.85 18254.63 337.03 1 in 55
Texas 641855 4134 0.65 117878 13104 185 1.43 2.04 22136.08 451.93 1 in 45
Florida 633442 2402 0.38 82541 11501 127 1.12 1.82 29492.96 535.48 1 in 34
New York 436218 708 0.16 13515 32972 6 0.02 7.56 22423.56 1694.91 1 in 45
Georgia 274613 1916 0.70 48460 5795 62 1.08 2.11 25864.37 545.80 1 in 39
Illinois 240344 2128 0.89 40451 8300 27 0.33 3.45 18966.81 655.00 1 in 53
Arizona 202861 519 0.26 13418 5065 21 0.42 2.50 26640.03 665.14 1 in 38
New Jersey 192595 305 0.16 6657 15964 14 0.09 8.29 21683.28 1797.30 1 in 46
North Carolina 170553 1129 0.67 30814 2779 38 1.39 1.63 16261.60 264.97 1 in 61
Tennessee 157831 1502 0.96 31438 1797 16 0.90 1.14 23097.76 262.98 1 in 43
Louisiana 149838 956 0.64 15534 5004 20 0.40 3.34 32231.59 1076.41 1 in 31
Pennsylvania 140532 984 0.71 14614 7705 27 0.35 5.48 10977.36 601.86 1 in 91
Massachusetts 129182 294 0.23 7182 9060 -4 -0.04 7.01 18588.67 1303.69 1 in 54
Alabama 128239 623 0.49 23453 2217 17 0.77 1.73 26154.22 452.16 1 in 38
Ohio 125767 1161 0.93 21519 4176 10 0.24 3.32 10759.34 357.26 1 in 93
Virginia 122518 925 0.76 19997 2641 29 1.11 2.16 14353.90 309.41 1 in 70
South Carolina 120503 657 0.55 17529 2794 37 1.34 2.32 23404.49 542.66 1 in 43
Michigan 114468 648 0.57 15779 6781 14 0.21 5.92 11461.86 678.99 1 in 87
Maryland 109319 456 0.42 11935 3766 5 0.13 3.44 18082.17 622.92 1 in 55
Indiana 95750 859 0.91 19228 3325 13 0.39 3.47 14222.65 493.89 1 in 70
Missouri 88216 1478 1.70 25260 1578 16 1.02 1.79 14373.45 257.11 1 in 70
Mississippi 84365 781 0.93 14991 2526 33 1.32 2.99 28347.04 848.75 1 in 35
Wisconsin 77129 545 0.71 14866 1142 12 1.06 1.48 13246.87 196.14 1 in 75
Minnesota 77085 730 0.96 14782 1882 11 0.59 2.44 13668.45 333.71 1 in 73
Washington 75377 438 0.58 10675 1935 4 0.21 2.57 9898.63 254.11 1 in 101
Nevada 69872 239 0.34 11824 1336 23 1.75 1.91 22684.57 433.74 1 in 44
Iowa 66463 616 0.94 16490 1133 8 0.71 1.70 21065.46 359.10 1 in 47
Arkansas 62112 615 1.00 11016 841 27 3.32 1.35 20581.71 278.68 1 in 49
Oklahoma 60118 720 1.21 14720 821 13 1.61 1.37 15192.93 207.48 1 in 66
Colorado 57999 244 0.42 6262 1952 6 0.31 3.37 10071.48 338.96 1 in 99
Connecticut 53108 102 0.19 2402 4467 1 0.02 8.41 14895.86 1252.91 1 in 67
Utah 52822 419 0.80 7732 410 1 0.24 0.78 16476.20 127.89 1 in 61
Kentucky 49991 806 1.64 13046 966 18 1.90 1.93 11189.49 216.22 1 in 89
Kansas 43847 885 2.06 11750 461 5 1.10 1.05 15050.56 158.24 1 in 66
Nebraska 34995 421 1.22 5751 399 0 0.00 1.14 18090.81 206.26 1 in 55
Puerto Rico 34003 582 1.74 9929 443 8 1.84 1.30 10646.92 138.71 1 in 94
Idaho 32664 311 0.96 6530 372 5 1.36 1.14 18227.02 207.58 1 in 55
Oregon 27075 129 0.48 5053 468 4 0.86 1.73 6419.32 110.96 1 in 156
New Mexico 25612 152 0.60 2796 790 3 0.38 3.08 12214.63 376.76 1 in 82
Rhode Island 22078 76 0.35 1949 1051 1 0.10 4.76 20840.87 992.11 1 in 48
Delaware 17549 14 0.08 1784 606 1 0.17 3.45 18021.82 622.33 1 in 55
District of Columbia 14077 28 0.20 1118 608 1 0.16 4.32 19946.18 861.50 1 in 50
South Dakota 14003 254 1.85 4188 169 2 1.20 1.21 15828.70 191.03 1 in 63
North Dakota 12267 267 2.23 4297 148 3 2.07 1.21 16097.12 194.21 1 in 62
West Virginia 10658 145 1.38 2640 233 9 4.02 2.19 5963.70 130.38 1 in 168
Hawaii 8991 338 3.91 5033 75 1 1.35 0.83 6350.15 52.97 1 in 157
Montana 7691 182 2.42 2423 109 4 3.81 1.42 7196.07 101.99 1 in 139
New Hampshire 7309 12 0.16 422 432 0 0.00 5.91 5375.41 317.71 1 in 186
Alaska 5362 65 1.23 1483 39 0 0.00 0.73 7329.69 53.31 1 in 136
Maine 4568 19 0.42 498 133 1 0.76 2.91 3398.27 98.94 1 in 294
Wyoming 3911 37 0.96 825 41 4 10.81 1.05 6757.56 70.84 1 in 148
Vermont 1637 2 0.12 159 58 0 0.00 3.54 2623.44 92.95 1 in 381

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 11580370 721281 6.23 2276903 129905 5.71 293083.2
2 Texas 5068862 641855 12.66 962502 117878 12.25 174813.2
3 Florida 4693802 633442 13.50 606223 82541 13.62 218542.7
4 New York 8428477 436218 5.18 1699996 13515 0.80 433261.4
5 Georgia 2381637 274613 11.53 464895 48460 10.42 224314.0
6 Illinois 4121575 240344 5.83 930474 40451 4.35 325255.2
7 Arizona 1213927 202861 16.71 169699 13418 7.91 159414.9
8 New Jersey 2902267 192595 6.64 526251 6657 1.26 326751.3
9 North Carolina 2315310 170553 7.37 492027 30814 6.26 220756.2
10 Tennessee 2238231 157831 7.05 478539 31438 6.57 327553.6
11 Louisiana 1903883 149838 7.87 305274 15534 5.09 409543.4
12 Pennsylvania 1687696 140532 8.33 294590 14614 4.96 131830.8
13 Massachusetts 1771706 129182 7.29 425362 7182 1.69 254940.0
14 Alabama 964233 128239 13.30 168462 23453 13.92 196654.4
15 Ohio 2292748 125767 5.49 564368 21519 3.81 196144.1
16 Virginia 1610691 122518 7.61 323135 19997 6.19 188704.5
17 South Carolina 959032 120503 12.57 158943 17529 11.03 186266.3
18 Michigan 2816816 114468 4.06 634975 15779 2.48 282052.3
19 Maryland 1345646 109319 8.12 266808 11935 4.47 222579.8
20 Indiana 1092596 95750 8.76 225602 19228 8.52 162293.6
21 Missouri 998097 88216 8.84 199516 25260 12.66 162624.6
22 Mississippi 581586 84365 14.51 73772 14991 20.32 195415.6
23 Wisconsin 1273730 77129 6.06 183353 14866 8.11 218762.5
24 Minnesota 1150854 77085 6.70 198069 14782 7.46 204065.4
25 Washington 1480039 75377 5.09 465781 10675 2.29 194361.1
26 Nevada 602308 69872 11.60 74773 11824 15.81 195544.6
27 Iowa 629654 66463 10.56 101506 16490 16.25 199569.0
28 Arkansas 737449 62112 8.42 163878 11016 6.72 244364.4
29 Oklahoma 893242 60118 6.73 171135 14720 8.60 225738.8
30 Colorado 1014642 57999 5.72 413342 6262 1.51 176191.8
31 Connecticut 1203979 53108 4.41 284696 2402 0.84 337694.8
32 Utah 668425 52822 7.90 87216 7732 8.87 208494.6
33 Kentucky 837211 49991 5.97 162436 13046 8.03 187393.1
34 Kansas 419247 43847 10.46 84684 11750 13.88 143907.2
35 Nebraska 365641 34995 9.57 57179 5751 10.06 189019.6
37 Idaho 259096 32664 12.61 46852 6530 13.94 144579.6
38 Oregon 566382 27075 4.78 103840 5053 4.87 134285.8
39 New Mexico 765399 25612 3.35 125062 2796 2.24 365026.9
40 Rhode Island 536139 22078 4.12 310006 1949 0.63 506096.6
41 Delaware 240530 17549 7.30 38330 1784 4.65 247010.6
42 District of Columbia 294797 14077 4.78 68056 1118 1.64 417708.0
43 South Dakota 148925 14003 9.40 25297 4188 16.56 168341.7
44 North Dakota 204097 12267 6.01 31078 4297 13.83 267822.0
45 West Virginia 441585 10658 2.41 106346 2640 2.48 247089.4
46 Hawaii 202186 8991 4.45 51953 5033 9.69 142799.6
47 Montana 253873 7691 3.03 57837 2423 4.19 237535.8
48 New Hampshire 211281 7309 3.46 30830 422 1.37 155386.7
49 Alaska 376884 5362 1.42 84302 1483 1.76 515189.1
50 Maine 273032 4568 1.67 73914 498 0.67 203116.8
51 Wyoming 76810 3911 5.09 17479 825 4.72 132715.0
52 Vermont 139096 1637 1.18 34023 159 0.47 222914.2

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 843844 18105 2.19 612484 72.58 205428 25586 391 1.55 3.03
Andhra Pradesh 465730 10199 2.24 357829 76.83 103701 4200 75 1.82 0.90
Tamil Nadu 445851 5892 1.34 386173 86.61 52070 7608 92 1.22 1.71
Karnataka 370206 8865 2.45 268035 72.40 96098 6054 104 1.75 1.64
Uttar Pradesh 247101 5662 2.35 185812 75.20 57598 3691 75 2.07 1.49
Delhi 182306 2737 1.52 160114 87.83 17692 4500 19 0.42 2.47
West Bengal 171681 2984 1.77 144248 84.02 24039 3394 55 1.65 1.98
Bihar 142156 1922 1.37 124976 87.91 16451 728 6 0.83 0.51
Telangana 135884 5295 4.05 102024 75.08 32994 866 20 2.36 0.64
Assam 118334 3054 2.65 90698 76.65 27303 330 7 2.17 0.28
Odisha 113411 3631 3.31 87351 77.02 25485 575 8 1.41 0.51
Gujarat 100375 1325 1.34 81280 80.98 16033 3062 16 0.53 3.05
Rajasthan 86227 1553 1.83 71220 82.60 13912 1095 14 1.30 1.27
Kerala 79626 1553 1.99 57728 72.50 21517 316 10 3.27 0.40
Haryana 70099 1881 2.76 55889 79.73 13470 740 19 2.64 1.06
Madhya Pradesh 68586 1672 2.50 52215 76.13 14888 1483 30 2.06 2.16
Punjab 58515 1526 2.68 41271 70.53 15554 1690 72 4.45 2.89
Jharkhand 46480 1618 3.61 30886 66.45 15150 444 6 1.37 0.96
Jammu and Kashmir 39943 1079 2.78 30759 77.01 8441 743 11 1.50 1.86
Chhattisgarh 37967 2284 6.40 18950 49.91 18702 315 16 5.35 0.83
Uttarakhand 22180 946 4.46 14945 67.38 6871 300 9 3.09 1.35
Goa 19355 713 3.82 14361 74.20 4782 212 8 3.92 1.10
Puducherry 15581 424 2.80 10279 65.97 5042 260 7 2.77 1.67
Tripura 13833 1114 8.76 8212 59.37 5472 129 11 9.32 0.93
Himachal Pradesh 6615 199 3.10 4813 72.76 1708 47 5 11.90 0.71
Manipur 6609 102 1.57 4774 72.23 1803 32 3 10.34 0.48
Chandigarh 5065 276 5.76 2883 56.92 2116 63 4 6.78 1.24
Arunachal Pradesh 4574 214 4.91 3167 69.24 1399 8 1 14.29 0.17
Nagaland 4066 49 1.22 3314 81.51 732 8 0 0.00 0.20
Andaman and Nicobar Islands 3223 37 1.16 2823 87.59 352 48 1 2.13 1.49
Ladakh 2840 55 1.97 2039 71.80 766 35 0 0.00 1.23
Meghalaya 2626 109 4.33 1393 53.05 1220 13 0 0.00 0.50
Dadra and Nagar Haveli and Daman and Diu 2459 29 1.19 2159 87.80 278 2 0 0.00 0.08
Sikkim 1738 34 2.00 1304 75.03 429 5 1 25.00 0.29
Mizoram 1040 20 1.96 669 64.33 371 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1630115 100554 237 0.24 6.17 220 22 7278 16869 16.78
Piemonte 597168 32989 66 0.20 5.52 90 7 1521 4147 12.57
Emilia-Romagna 922192 32128 107 0.33 3.48 104 10 3103 4463 13.89
Veneto 1578602 23189 163 0.71 1.47 70 9 2556 2123 9.16
Toscana 552076 11967 69 0.58 2.17 58 8 1636 1142 9.54
Lazio 605096 11446 130 1.15 1.89 343 9 3407 878 7.67
Liguria 241801 11017 47 0.43 4.56 38 6 607 1571 14.26
Campania 430232 7285 117 1.63 1.69 163 4 2402 446 6.12
Marche 207827 7273 17 0.23 3.50 14 1 320 987 13.57
Puglia 312954 5546 67 1.22 1.77 140 6 922 557 10.04
P.A. Trento 188091 5132 33 0.65 2.73 4 1 123 405 7.89
Sicilia 357499 4433 83 1.91 1.24 76 12 1227 287 6.47
Friuli Venezia Giulia 332115 3806 20 0.53 1.15 11 3 387 349 9.17
Abruzzo 159429 3804 24 0.63 2.39 30 1 430 472 12.41
P.A. Bolzano 139688 2958 10 0.34 2.12 8 2 206 292 9.87
Sardegna 139273 2316 73 3.25 1.66 32 5 909 135 5.83
Umbria 158956 1830 27 1.50 1.15 8 2 298 80 4.37
Calabria 159174 1545 32 2.12 0.97 21 0 290 97 6.28
Valle d’Aosta 25209 1243 2 0.16 4.93 3 0 32 146 11.75
Molise 34047 528 0 0.00 1.55 3 0 73 23 4.36
Basilicata 57324 526 2 0.38 0.92 1 1 90 28 5.32

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 62746 132 0.21 5764 2 0.03 9.19 7349.31 675.13 1 in 136
Ontario 44572 154 0.35 2858 0 0.00 6.41 3029.67 194.27 1 in 330
Alberta 14180 114 0.81 242 1 0.41 1.71 3213.13 54.84 1 in 311
British Columbia 5952 104 1.78 209 0 0.00 3.51 1164.57 40.89 1 in 859
Saskatchewan 1624 2 0.12 24 0 0.00 1.48 1374.33 20.31 1 in 728
Manitoba 1244 12 0.97 14 0 0.00 1.13 903.07 10.16 1 in 1107
Nova Scotia 1085 0 0.00 65 0 0.00 5.99 1110.02 66.50 1 in 901
Newfoundland and Labrador 269 0 0.00 3 0 0.00 1.12 515.95 5.75 1 in 1938
New Brunswick 192 1 0.52 2 0 0.00 1.04 246.16 2.56 1 in 4062
Prince Edward Island 44 0 0.00 0 0 NaN 0.00 278.20 0.00 1 in 3594
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4830 93 1.93
Guangdong 1745 8 0.46
Zhejiang 1278 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Shanghai 908 7 0.77
Xinjiang 902 3 0.33
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 655 3 0.46
Chongqing 583 6 1.03
Fujian 383 1 0.26
Shaanxi 371 3 0.81
Hebei 365 6 1.64
Liaoning 263 2 0.76
Inner Mongolia 261 1 0.38
Guangxi 255 2 0.78
Tianjin 229 3 1.31
Shanxi 203 0 0.00
Yunnan 199 2 1.01
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 18684.32 567.60 1 in 54
Brazil 19101.12 591.40 1 in 52
India 2877.82 50.32 1 in 347
Russia 6934.01 120.17 1 in 144
Peru 20426.76 903.57 1 in 49
Colombia 12906.48 414.61 1 in 77
South Africa 11117.68 253.68 1 in 90
Mexico 4728.77 509.41 1 in 211
Spain 10277.63 625.68 1 in 97
Argentina 9920.31 205.96 1 in 101
Chile 22977.23 628.48 1 in 44
Iran 4666.73 268.57 1 in 214
United Kingdom 5131.38 626.16 1 in 195
France 4941.93 458.16 1 in 202
Bangladesh NA NA 1 in NA
Saudi Arabia 9638.31 120.10 1 in 104
Pakistan 1507.69 32.12 1 in 663
Turkey 3382.02 79.97 1 in 296
Italy 4489.34 586.92 1 in 223
Germany 2988.42 112.60 1 in 335

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 243935 5878 2.41
Miami-Dade Florida 159400 2554 1.60
Maricopa Arizona 134346 2995 2.23
Cook Illinois 127616 5073 3.98
Harris Texas 108085 2247 2.08
Dallas Texas 72610 973 1.34
Broward Florida 72371 1197 1.65
Queens New York 70344 7228 10.28
Kings New York 65201 7290 11.18
Clark Nevada 59857 1157 1.93
Riverside California 53306 1033 1.94
Bronx New York 51711 4913 9.50
Orange California 49142 1007 2.05
San Bernardino California 48245 743 1.54
Bexar Texas 46913 1119 2.39
Suffolk New York 44940 2003 4.46
Nassau New York 44845 2198 4.90
Palm Beach Florida 42518 1134 2.67
Tarrant Texas 42070 620 1.47
San Diego California 39121 695 1.78
Hillsborough Florida 37668 554 1.47
Westchester New York 37057 1452 3.92
Orange Florida 36488 383 1.05
Philadelphia Pennsylvania 34144 1758 5.15
New York New York 32218 3170 9.84
Wayne Michigan 31483 2889 9.18
Kern California 29459 292 0.99
Hidalgo Texas 27908 1208 4.33
Shelby Tennessee 27264 389 1.43
Duval Florida 26807 262 0.98
Travis Texas 26622 388 1.46
Prince George’s Maryland 26428 796 3.01
Mecklenburg North Carolina 25703 298 1.16
Fresno California 25542 290 1.14
Middlesex Massachusetts 25411 2070 8.15
Fulton Georgia 25150 527 2.10
Gwinnett Georgia 24608 343 1.39
Milwaukee Wisconsin 24263 494 2.04
Salt Lake Utah 24250 231 0.95
Davidson Tennessee 23703 260 1.10
Hennepin Minnesota 23372 883 3.78
Suffolk Massachusetts 22508 1104 4.90
Franklin Ohio 22161 563 2.54
Bergen New Jersey 21691 2035 9.38
Pima Arizona 21294 574 2.70
Cameron Texas 21211 775 3.65
El Paso Texas 20611 439 2.13
Essex New Jersey 20392 2117 10.38
Hudson New Jersey 20197 1508 7.47
Montgomery Maryland 20190 821 4.07
Pinellas Florida 20080 665 3.31
St. Louis Missouri 19852 752 3.79
King Washington 19797 731 3.69
Nueces Texas 19017 368 1.94
Fairfield Connecticut 18965 1415 7.46
Lee Florida 18878 431 2.28
Marion Indiana 18721 749 4.00
Alameda California 18695 274 1.47
Fairfax Virginia 18606 561 3.02
Middlesex New Jersey 18483 1417 7.67
Passaic New Jersey 18416 1247 6.77
Sacramento California 18413 304 1.65
Oakland Michigan 18247 1165 6.38
Essex Massachusetts 18125 1241 6.85
San Joaquin California 17915 344 1.92
Santa Clara California 17802 250 1.40
Polk Florida 17292 455 2.63
Cobb Georgia 17210 395 2.30
Union New Jersey 17137 1351 7.88
Providence Rhode Island 17107 0 0.00
DeKalb Georgia 16716 309 1.85
Jefferson Louisiana 16575 549 3.31
Jefferson Alabama 16170 299 1.85
Out of GA Georgia 16131 130 0.81
Cuyahoga Ohio 15925 582 3.65
Baltimore Maryland 15665 605 3.86
Richmond New York 15332 1083 7.06
Wake North Carolina 15297 202 1.32
Fort Bend Texas 15036 240 1.60
Stanislaus California 14902 267 1.79
DuPage Illinois 14770 537 3.64
Lake Illinois 14697 468 3.18
Baltimore City Maryland 14569 461 3.16
Tulare California 14305 234 1.64
Rockland New York 14305 674 4.71
Charleston South Carolina 14151 242 1.71
District of Columbia District of Columbia 14077 608 4.32
Contra Costa California 14035 179 1.28
East Baton Rouge Louisiana 13911 417 3.00
New Haven Connecticut 13736 1109 8.07
Oklahoma Oklahoma 13689 156 1.14
Douglas Nebraska 13671 160 1.17
Hartford Connecticut 13561 1426 10.52
Tulsa Oklahoma 13557 135 1.00
Polk Iowa 13547 227 1.68
Worcester Massachusetts 13483 1055 7.82
Macomb Michigan 12936 979 7.57
Yuma Arizona 12264 320 2.61
Greenville South Carolina 12212 264 2.16
Jefferson Kentucky 12192 265 2.17

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc